Overview
- Enables reader to explore, discover, implement solutions for Intelligent transportation system with AI
- This book delivers the core concepts in both analytics and application of intelligent transportation
- Discusses prospective techniques for enabling the interpretability of transportation systems
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Table of contents (5 chapters)
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Front Matter
Keywords
About this book
Transportation typically entails crucial “life-death” choices, delegating crucial decisions to an AI algorithm without any explanation poses a serious threat. Hence, explainability and responsible AI is crucial in the context of intelligent transportation. In Intelligence Transportation System (ITS) implementations such as traffic management systems and autonomous driving applications, AI-based control mechanisms are gaining prominence.
Explainable artificial intelligence for intelligent transportation system tackling certain challenges in the field of autonomous vehicle, traffic management system, data integration and analytics and monitor the surrounding environment.
The book discusses and inform researchers on explainable Intelligent Transportation system. It also discusses prospective methods and techniques for enabling the interpretability of transportation systems. The book further focuses on ethical considerations apart from technical considerations.
Authors and Affiliations
About the authors
She is a senior IEEE member and Series Editor with CRC and Wiley. She has high indexed publications in SCI/ABDC/WoS/Scopus and has several Patents/copyrights on her account, edited/authored more than 20 research books published by world-class publishers. She has excellent experience in supervising and co-supervising postgraduate students internationally. An ample number of Ph.D. and master’s students graduated under her supervision. She is an external Ph.D./Master thesis examiner/evaluator for several universities globally. She has completed internationally funded research grants successfully. She has also served as Keynote speaker for several international conferences, presented several Webinars worldwide, chaired international conference sessions. Prof. Gaur has significantly contributed to enhancing scientific understanding by participating in over three hundred scientific conferences, symposia, and seminars, by chairing technical sessions and delivering plenary and invited talks.
Biswa Mohan Sahoo is a Senior Member, IEEE. He has received the B.Tech and M.Tech degree in computer science and engineering from Biju Patnaik University of Technology, Odisha,India and PhD degree in computer science and engineering from Indian Institute of Technology (IIT), Dhanbad, India. He is currently working as an Assistant Professor, Manipal University, Jaipur, India. He has 15 years of teaching experience in different universities in India. He has published more than 18 articles in prestigious international peer review journals and conferences in Wireless Sensor Networks, Swarm Intelligence and Artificial Intelligence. His currently focus on artificial intelligence approaches on sensor networks. His research interest area is wireless sensor network, IoT and Artificial intelligence.
Bibliographic Information
Book Title: Explainable Artificial Intelligence for Intelligent Transportation Systems
Book Subtitle: Ethics and Applications
Authors: Loveleen Gaur, Biswa Mohan Sahoo
DOI: https://doi.org/10.1007/978-3-031-09644-0
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
Hardcover ISBN: 978-3-031-09643-3Published: 09 August 2022
Softcover ISBN: 978-3-031-09646-4Published: 10 August 2023
eBook ISBN: 978-3-031-09644-0Published: 08 August 2022
Edition Number: 1
Number of Pages: XX, 90
Number of Illustrations: 4 b/w illustrations, 9 illustrations in colour
Topics: Artificial Intelligence, Professional Computing, Transportation Technology and Traffic Engineering